Partner Sales Desk Specialist in Toronto

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Marketplace teams are at the heart of our products and decision-making, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems. The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. Rider Engagement develops rider-facing engagement levers and optimizes user pricing experience to drive both short term and long term business outcomes. We work with Product & Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Work closely with cross-functional teams and partner teams to develop solutions based on technology and business needs, and advance team’s goals and priorities Independently lead features from idea to positive execution and launch Unblock, support and communicate with internal partners to achieve results Write well-crafted, well-tested, readable, maintaina

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for a Senior Staff Technical Program Manager who brings exceptional technical and analytical skills to drive execution across high-impact product initiatives. Come be part of a team at Lyft focused on enabling and empowering engineering teams to deliver at scale. Technical Program Managers at Lyft drive cross-functional initiatives, leveraging strong leadership, planning, communication, and collaboration skills. Our TPMs are technically strong with deep product and software engineering experience. They are problem solvers who make things happen by setting clear goals and inspiring teams to deliver. TPMs at Lyft are both strategic and tactical, doing what it takes to successfully deliver top-priority programs that have a material impact on the business. This role will support product-facing teams within Rideshare, focusing initially on the Partnerships, Loyalty and Payments organization, where you will be responsible for helping them to create a singular loyalty offering that is accessible, emotional, rewarding, and which makes it simple to choose Lyft. You will collaborate with engineering, product, data science, design, analytics, and operations to drive iterative delivery that delights our riders and drivers. Responsibilities Lead cross-functional product initiatives from ideation through planning, execution, launch, and post-launch — ensuring alignment, accountability, and measurable outcomes at every phase. Provide hands-on support across all phases of the software development lifecycle, including project planning, resource allocation, progress tracking, risk mitigation, KPI ownership and measurement, and leadership communications. Partner with engineering, product, data science, design

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe's Financial Connections group is building technology that expands the scope of problems we tackle beyond card payments. We aspire to enable individuals and businesses to securely share their financial data to improve their product experiences. With more high-quality customer financial data, both Stripe and our users can offer better products to their customers. We have ambitious goals to enable all global businesses to run their entire financial life cycle on Stripe, and we want you to be part of our story. Technical Operations roles in Financial Connections are a dynamic and critical component of the organization's success. As Financial Connections TechOps Manager, you will lead a team of Integration Reliability Engineers who sit at the intersection of product and platform engineers, financial partners, and AI automation. Your role is to ensure that nothing is lost in translation: setting the standard for how the team operates, where it invests, and how the operational backbone of Stripe's open banking ecosystem stays reliable at scale. What you'll do Lead integration reliability and partner operations Own the health of Financial Connections' banking integrations at the team level—define what "reliable" looks like across the partner ecosystem, set the operational bar, and hold the team to it Serve as the management escalation point for complex partner issues, coordinating across financial partners, Stripe engineering, and product lea

Engineering Manager, AI Conversation Platform Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities Driving an ambitious vision for AI/ML that benefits our users Setting the technical & process direction for the team based on business goals Brainstorm and coordinate product integrations with partner teams Proposing new ideas and building prototypes Be an integral part of a larger ML community internally & externally Hire & develop a world-class team to deliver high-quality ML systems. Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You a

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Billing organization at Stripe builds and operates Stripe Billing, a growing product vertical inside of Stripe. Hundreds of thousands of businesses of all sizes and types use Stripe Billing to collect revenue for recurring and one-time payments across a variety of different pricing models—from selling SaaS subscriptions, to orchestrating multi-stage contracts, delivering business analytics, and providing recovery and retention tools to prevent customer churn. To support even the most unique and complex business models, our technology and products must be configurable and programmable. This requires our team to innovate in how we model different types of businesses, and how we use technology to enable customers to piece together Stripe’s Billing’s platform primitives into holistic solutions that support any type of business. Through this work, Stripe Billing allows worry-free innovation and evolution of any customer’s business model. Stripe is defining the industry’s approach to Billing solutions; we’re looking for innovators to join us. What you’ll do We’re looking for an experienced Engineering Manager to lead a team within the Stripe Billing organization. In this role, you will manage a high-performing team of engineers and partner closely with product managers and other cross-functional leaders to shape the team’s strategy and roadmap. You will excel in this role if you’re a product-focused engineering manager who can collaborate effe

Engineering Manager, AI Conversation Platform Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities Driving an ambitious vision for AI/ML that benefits our users Setting the technical & process direction for the team based on business goals Brainstorm and coordinate product integrations with partner teams Proposing new ideas and building prototypes Be an integral part of a larger ML community internally & externally Hire & develop a world-class team to deliver high-quality ML systems. Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You a

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the role The App Runtime team is building a platform that lets every Snowflake user go from an idea to a live, deployed web application (Node.js first) in minutes. We own the end-to-end experience of building and running apps, from Cortex AI-assisted development to deployment in a secure, scalable infrastructure. Apps built on the platform inherit Snowflake's security, governance, lineage, and access controls by default. See Deploy Faster with Snowflake Apps . As a Senior Full Stack Engineer, you will drive initiatives that span our product areas and tech stack. It’s a high-impact role - you will work on an early-stage, public-preview product. Your work will directly shape the product experience developers rely on. This role requires a unique combination of deep hands-on expertise with web frameworks, great UX design instincts, customer obsession and collaboration with backend teams. Responsibilities Build the AI-assisted, agentic development experiences that power App Runtime, spanning the full tech stack - React, Go, Python, and Java Stay deeply hands-on by authoring technical and design specs that consider the system holistically (frontend and backend) and implementing critical code Partner directly with customers, i.e. developers building Snowflake Apps, translati

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. AS A SENIOR SOFTWARE ENGINEER YOU WILL: Drive high-impact initiatives that span our product areas and full tech stack, including golang and Python on the backend and TypeScript/React on the frontend. Own and deliver features across the notebook service, container runtimes, and UI — designing and shipping medium-to-large projects independently, from ambiguous problem statements through production and post-launch. Advance core platform initiatives such as runtime management and patching, environment reproducibility and replication, security and compliance, and observability for notebooks. Extend the product to operate reliably in regulated and air-gapped environments, where security, compliance, and operational rigor are paramount. Promote strong collaboration within a cross-functional team and partner closely with embedded product managers and designers, as well as platform organizations across Snowflake Be a strong contributor to the product vision and drive team planning. Build for scale, reliability, and high performance, and participate in the on-call rotation to keep a Tier-1 production service healthy. Mentor, coach, and empower more junior team members, and raise the engineering bar through high-quality design and code review. OUR IDEAL CANDIDATE WILL HAVE: 7+ years o

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking an Analyst to join our Business Forecast & Planning team within Customer Care Operations. This role owns the forecasting, capacity, and scheduling models that keep our global support workforce sized and staffed correctly. You'll work hands-on with our BPO partners to translate demand signals into staffing plans, and bring deep contact centre planning expertise to a team managing support at scale across multiple sites and geographies. Responsibilities: Support the development and upkeep of the models and frameworks that connect business drivers to staffing and resourcing decisions Translate large, complex, and sometimes ambiguous data into clear, actionable insights that support leadership recommendations Own day-to-day planning execution, from dashboards maintenance and reporting to business reviews, with a sharp focus on accuracy and the details that matter Leverage AI tools to build and maintain dashboards, reports, and analyses that support the team's recommendations and insights Identify and help drive opportunities to improve how the team plans and operates Move quickly on ambiguous, time-sensitive requests, using modern tools to work smarter and faster Experience: 2+ years in planning, forecasting, capacity/resource management, or a related analytical role; consulting, investment banking, FP&A, or ops strategy backgrounds also fit well Sharp analytical mindset with hands-on SQL and Python skills AI fluency, comfortable using AI tools to accelerate analysis and problem-solving Strong business acumen paired with genuine curiosity about how large, complex business systems work; fast learner with a bias towards action, comfortable building context quickly across new systems and stakeholders Self-directed, with a track record of turning data into real decisions; strong commun

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team of bold thinkers and sharp problem-solvers who are wired to make an impact. The Ops Platform organization develops internal platforms that replace repetitive manual processes with AI-driven systems. These tools support key areas such as Fraud Operations, Account Operations, Financial Crimes Operations, and Retirement Services. The team works closely with product, data science, and operations partners to deliver reliable systems that improve decision-making and efficiency! As a Software Developer, you will design and build platforms that enable operational teams to investigate and resolve issues more quickly and accurately. You will work with large datasets and signals to create tooling that supports fraud investigation and other operational workflows. You will collaborate with data scientists and machine learning engineers to translate manual processes into automated systems. Your work will focus on improving system reliability, reducing operational effort, and increasing the speed at which new products and features can be supported across Robinhood’s offerings. This role is based in our Toronto, ON office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do You will define technical direction and make architectural decisions for systems that support operational workflows across multiple product lines You will build tools that proces

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. On the Rider team, we are growing our team with people who want to enrich the lives of our community through technology. You'll collaborate with highly cross-functional teams such as Product, Design, Data science, and Analytics, as well as other organizations like Driver, Partners, and Marketplace, to deliver on that promise. As the Senior Engineering Manager for the Rider Loyalty, Partnerships, and Rider Pay (PLP) group, you will lead multiple managers and Staff ICs with end-to-end teams, consisting of iOS, Android, and Server, to make Riders into Members and to build a robust network of partners that our Riders love. It is your responsibility to sweat the details by being customer-obsessed with specific Rider needs and to build innovative product solutions to address them. Responsibilities: Set the technical vision and team strategy for the PLP group and communicate that downwards, with peers, and upwards with ELT Coach and guide an organization of managers and engineers in their people and technical development Collaborate with cross-functional stakeholders to deliver high business impact Work closely with the Lyft recruiting team to hire high-potential candidates from diverse backgrounds Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or a related field, or relevant work experience 3+ years of experience managing engineering teams of 20+ members, including teams across iOS, Android, and Server platforms, as well as experience in managing managers Ability to thrive in a heavily cross-functional environment and drive projects to completion regardless of the organizational structure Passion for building scalable and extensible solutions that enable others and ensure a high-quality product Experience launching and supporting consumer-facing products at scale Strong technica

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The People Analytics team at Lyft exists to build data trust — turning people data into clear, reliable insights that help our HR Business Partners, talent leaders, and executives make better decisions. We're a small, high-impact team in the middle of a meaningful BI transformation: we recently moved to ThoughtSpot as our primary analytics platform, and we're not just replicating old dashboards — we're rethinking what self-service analytics looks like for a People team. That includes exploring ThoughtSpot's AI capabilities to surface proactive insights, enable natural language querying, and reduce the friction between a business question and a data answer. There's real greenfield work here, and we're looking for someone who wants to help define what AI-powered people analytics looks like at Lyft. We're looking for a Data Analyst to join our People Analytics team, based in Toronto. You'll report to the Senior Manager, People Analytics and serve as the first point of contact for incoming data requests across the People organization — triaging, scoping, and delivering on analytical needs ranging from quick ad-hoc pulls to fully built ThoughtSpot dashboards. This role is well-timed: you'll be joining as we complete our migration from Tableau to ThoughtSpot, which means you'll have genuine influence over how we build our reporting layer and push into ThoughtSpot's AI features — think natural language search, AI-generated insights, and proactive anomaly detection applied to people data. This isn't a "maintain the dashboard" role. It's a chance to help build something new. You'll be a self-starter who is equally comfortable writing SQL and presenting findings to a VP. Responsibilities: Serve as the first point of contact for incoming data requests from across the People organization — scoping needs, setting

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As an Observability team member, you are responsible for the operation and maintenance of our logging and metrics infrastructure. You ensure all teams at Lyft are aware of the operational health of their products by monitoring system availability and take a holistic view of our platform performance. You build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you find opportunities to improve our systems in order to push our platform forward. You provide our partners with the support they need to help them build robust large scale distributed systems. We count on the reliability of our infrastructure to empower Lyft teams to provide our customers rich experiences that are highly available with rock solid performance to ensure our transportation platform continues to connect people and places. As we grow our team, we are seeking experienced Infrastructure Engineer to ensure that as our Infrastructure continues to scale, our platform continues to provide an essential and dependable service that transports millions of people every day. Specifically we are searching for someone who brings fresh perspectives, enjoys collaborating with cross-functional teams in order to continually improve our products and services for our customers. Responsibilities: Maintain, improve, and develop tooling and systems that enhance the reliability, scalability, and efficiency of our platform. Assist engineering teams in defining service-level objectives (SLOs) and provide the necessary toolin

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is looking for a talented Staff Product Designer (you!) who shares our passion for bringing simple, yet powerful product experiences to our enterprise admins. At Okta, we're building a world where anyone can safely use any technology, and we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users, but to ask, “what more can we make possible?” Which is where you come in! ​​As a Staff Product Designer for Okta, you’ll work with a globally distributed design team to apply your craft and expertise on a range of products and services. Our culture provides the opportunity to explore the technologies we’re researching and investing in. Some of your work will be functional, practical user experience design, where you will help our design team drive cohesive user experience across Okta’s portfolio of products. Other work will be speculative, generative explorations that you carry out in collaboration and partnership across the organization to flesh out, frame, and help prioritize solutions in an ever-evolving and complex, often ambiguous, problem space. Finer print You will lead user experience strategy and execution for our Okta Research & Development (ORD) business unit. Specifically, ORD will solve every identity use case at work – for all types of people (employees, business partners, contra

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Product Okta’s Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation. The Team The Delegated Administration team is expanding Auth0 to help B2B SaaS applications easily manage access for their own customers and partners, at scale. We make it possible for enterprise SaaS users to log in with the right set of permissions within the right context, and for our B2B customers to onboard access for their customers easily. Our work is cross-cutting and always heavily customer driven. We work in NodeJS (JavaScript and TypeScript) and use PostgreSQL for our data needs. Our services run on AWS and Azure and we lean heavily on containers for both our development and production needs. If you have a keen eye for good user experiences and enjoy solving hard problems at scale we can’t wait to talk to you. What you’ll be doing Help drive architectural vision and strategy on the team to design and deliver powerful new enterprise functionality for our SaaS customers - both for the login flow itself and for Auth0’s direct and self-service management capabilities Identify and implement strategic technical improvements to our codebase and arch